Full job description Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in product management, consulting, co-founder or related technical role. 2 years of experience building and shipping technical products. Experience developing/launching products/technologies in AI/ML and Natural Language Processing. Preferred qualifications: Master’s degree or PhD in a technology or business related field. 3 years of experience in a role preparing and delivering technical presentations to executive leadership. 2 years of experience working cross-functionally with Engineering, UX/UI, Sales, Finance, and other stakeholders. Ability to navigate ambiguity and manage competing priorities in a fast paced environment. Excellent communication skills, especially in delivering technical presentations to executive leadership. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. The Assistant Natural Language Processing (NLP) team builds critical AI/ML language technologies to enable these experiences. Our mission is to create natural conversations by understanding everything a user says to us, selecting appropriate actions, and replying fluently and accurately. With the advent of Large Language Models (LLMs), we now have even more powerful tools to enable us to deliver on our mission. We are building a next-generation NLP stack powered by LLMs which will unlock advanced capabilities with higher quality. Our LLM investments include synthetic data generation, LLMs for actions, and small model experimentation. We are also moving to a new operating model, platforming the NLP development process to allow teams across Google to more easily self-serve. Google aims to build products that organize the world's information and make it universally accessible to our users. As a Product Manager at Google, you could be working on new technologies, platforms, consumer facing products, and/or enterprise systems. The end goal will be to match you with the team that best aligns with your interests, experience, and where you will have the most impact. The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Understand the Natural Language Processing (NLP) landscape and user needs across various product areas within Google. Communicate regularly to Assistant and other teams within Google providing thought leadership and drive reimagining the entire stack powered by Large Language Models (LLMs), aimed at higher efficiency and developer velocity. Partner with relevant research and other teams working in related areas for technical collaborations and learnings. Partner with engineering to prioritize experimentation paths and deliver on NLP initiatives. Understand the process and flows for data pipelines, model building and iterations, and drive opportunities for quality improvements or strategic investments. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.